Unstructured healthcare data often contains hidden sensitive patient information, making it difficult for organizations to identify and protect it. Healthcare providers must uncover this data to ensure privacy, enhance security, and maintain compliance. Techniques such as hyperscan pattern detection, AI and machine learning, correlation and graph analysis, and strong interoperability capabilities help locate sensitive details across diverse data sources. By applying these advanced methods, organizations can better understand their data landscape, reduce risk, and safeguard protected health information across systems.

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